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#include "config.h"
#include <iomanip>
#include <iostream>
#include <sstream>
#include <string>
#include <vector>
namespace {
bool to_number(const std::string &s, int &out) {
try {
size_t used = 0;
const int v = std::stoi(s, &used);
return used == s.size() && (out = v, true);
} catch (const std::exception &) {
return false;
}
}
bool to_number(const std::string &s, float &out) {
try {
size_t used = 0;
const float v = std::stof(s, &used);
return used == s.size() && (out = v, true);
} catch (const std::exception &) {
return false;
}
}
template <class T>
struct Named {
const char *name;
T value;
};
constexpr Named<SampleStrategy> kSamplers[] = {{"proposal", SampleStrategy::PROPOSAL},
{"stratified", SampleStrategy::STRATIFIED},
{"uniform", SampleStrategy::UNIFORM}};
constexpr Named<DevicePreference> kDevices[] = {{"auto", DevicePreference::AUTO},
{"cpu", DevicePreference::CPU},
{"cuda", DevicePreference::CUDA}};
constexpr Named<LossType> kLosses[] = {{"huber", LossType::PSEUDO_HUBER},
{"mse", LossType::MSE}};
template <class T, size_t N>
bool from_name(const Named<T> (&table)[N], const std::string &s, T &out) {
for (const auto &e : table)
if (s == e.name) return (out = e.value, true);
return false;
}
template <class T, size_t N>
const char *to_name(const Named<T> (&table)[N], T value) {
for (const auto &e : table)
if (value == e.value) return e.name;
return "?";
}
// One CLI flag. A row with no setter is a section header in --help.
struct Opt {
const char *flag;
const char *meta;
const char *help;
bool (*set)(Config &, const std::string &) = nullptr;
void (*show)(std::ostream &, const Config &) = nullptr;
};
template <auto Field>
constexpr Opt number(const char *flag, const char *meta, const char *help) {
return {flag, meta, help,
[](Config &c, const std::string &v) { return to_number(v, c.*Field); },
[](std::ostream &o, const Config &c) { o << c.*Field; }};
}
template <auto Field>
constexpr Opt path(const char *flag, const char *meta, const char *help) {
return {flag, meta, help,
[](Config &c, const std::string &v) { return (c.*Field = v, true); },
[](std::ostream &o, const Config &c) {
o << ((c.*Field).empty() ? "none" : (c.*Field).string());
}};
}
const Opt kOpts[] = {
{nullptr, nullptr, "Training"},
path<&Config::render_checkpoint>("--render", "FILE",
"skip training: load this checkpoint and render the orbit"),
number<&Config::n_iters>("--iters", "N", "training iterations"),
number<&Config::image_size>("--size", "N", "images are resized to N x N"),
number<&Config::seed>("--seed", "N", "RNG seed"),
{"--device", "auto|cpu|cuda", "auto falls back to CPU, cuda exits without a GPU",
[](Config &c, const std::string &v) { return from_name(kDevices, v, c.device_pref); },
[](std::ostream &o, const Config &c) { o << to_name(kDevices, c.device_pref); }},
{nullptr, nullptr, "Sampling"},
{"--sampler", "proposal|stratified|uniform", "proposal is hierarchical",
[](Config &c, const std::string &v) { return from_name(kSamplers, v, c.sampler); },
[](std::ostream &o, const Config &c) { o << to_name(kSamplers, c.sampler); }},
number<&Config::n_samples>("--samples", "N", "coarse samples per ray"),
number<&Config::n_importance>("--importance", "N", "fine importance samples"),
number<&Config::ray_batch>("--ray-batch", "N", "rays per step, pooled across images"),
number<&Config::z_near>("--near", "F", "near plane"),
number<&Config::z_far>("--far", "F", "far plane"),
number<&Config::warmup_iters>("--warmup", "N", "iters the full model drives the coarse pass"),
number<&Config::interlevel_weight>("--interlevel-weight", "F", "weight on the interlevel loss"),
{nullptr, nullptr, "Model and optimiser"},
number<&Config::width>("--width", "N", "trunk width"),
number<&Config::depth>("--depth", "N", "hidden SIREN layers in the trunk"),
number<&Config::learning_rate>("--lr", "F", "AdamW learning rate"),
number<&Config::weight_decay>("--weight-decay", "F", "AdamW weight decay"),
{"--loss", "huber|mse", "photometric loss",
[](Config &c, const std::string &v) { return from_name(kLosses, v, c.loss); },
[](std::ostream &o, const Config &c) { o << to_name(kLosses, c.loss); }},
number<&Config::huber_c>("--huber-c", "F", "pseudo-Huber transition point"),
{nullptr, nullptr, "Throughput and output"},
number<&Config::batch_size>("--batch-size", "N", "sample points per forward chunk"),
number<&Config::log_freq>("--log-every", "N", "iterations between loss lines"),
number<&Config::eval_freq>("--eval-every", "N", "iterations between test-view evaluations"),
number<&Config::plot_freq>("--preview-every", "N", "iterations between previews and checkpoints"),
number<&Config::n_preview_frames>("--preview-frames", "N", "views per preview render"),
number<&Config::n_final_frames>("--final-frames", "N", "views in the final orbit"),
};
bool fail(const std::string &message) {
std::cerr << "Error: " << message << std::endl;
return false;
}
void print_usage(const char *program) {
const Config d;
std::cout << "Usage: " << program << " <data_path> <output_path> [options]\n\n"
<< " data_path directory holding transforms.json and the images it references\n"
<< " output_path directory for checkpoints, preview renders and metrics\n";
for (const auto &o : kOpts) {
if (!o.set) {
std::cout << "\n" << o.help << "\n";
continue;
}
std::ostringstream lhs;
lhs << " " << o.flag << " " << o.meta;
std::cout << std::left << std::setw(38) << lhs.str() << ' ' << o.help << " (default ";
o.show(std::cout, d);
std::cout << ")\n";
}
std::cout << " -h, --help\n";
}
} // namespace
const char *sampler_name(SampleStrategy s) { return to_name(kSamplers, s); }
bool parse_arguments(int argc, char *argv[], Config &cfg, bool &help) {
help = false;
const char *program = argc > 0 ? argv[0] : "NeRF.cpp";
std::vector<std::string> positional;
for (int i = 1; i < argc; i++) {
const std::string arg = argv[i];
if (arg == "-h" || arg == "--help") {
print_usage(program);
help = true;
return false;
}
if (!arg.starts_with("--")) {
positional.push_back(arg);
continue;
}
const Opt *opt = nullptr;
for (const auto &o : kOpts)
if (o.flag && arg == o.flag) opt = &o;
if (!opt)
return fail("unknown option '" + arg + "'\nRun " + program + " --help for the list.");
if (i + 1 >= argc) return fail(arg + " needs a value");
const std::string value = argv[++i];
if (!opt->set(cfg, value))
return fail(arg + " expects " + opt->meta + ", got '" + value + "'");
}
if (positional.size() != 2)
return fail("expected <data_path> and <output_path>, got " +
std::to_string(positional.size()) + "\nUsage: " + program +
" <data_path> <output_path> [options]");
cfg.data_path = positional[0];
cfg.output_path = positional[1];
// Settings that would otherwise fail confusingly much later on.
const struct {
bool bad;
const char *message;
} checks[] = {
{cfg.n_iters < 0, "--iters must be >= 0"},
{cfg.image_size <= 0, "--size must be > 0"},
{cfg.n_samples <= 0, "--samples must be > 0"},
{cfg.n_importance < 0, "--importance must be >= 0"},
{cfg.ray_batch <= 0, "--ray-batch must be > 0"},
{cfg.batch_size <= 0, "--batch-size must be > 0"},
{cfg.width <= 0 || cfg.depth <= 0, "--width and --depth must be > 0"},
{cfg.log_freq <= 0 || cfg.plot_freq <= 0 || cfg.eval_freq <= 0,
"--log-every, --eval-every and --preview-every must be > 0"},
{cfg.z_near <= 0.0f || cfg.z_far <= cfg.z_near, "need 0 < --near < --far"},
{cfg.hierarchical() && cfg.n_importance == 0,
"--sampler proposal needs --importance > 0; use --sampler stratified for one pass"},
};
for (const auto &c : checks)
if (c.bad) return fail(c.message);
return true;
}